Location:
Cambridge
|
Full time
Junior ML Engineer
As a Machine Learning Engineer – Simulation & Robotics, you will design and build simulation infrastructure to
accelerate robot learning. Your work will enable rapid iteration on learning-based approaches by reducing
dependence on physical robot evaluations, constructing realistic and scalable simulations, and generating large-scale
training data. You will help bridge the gap between simulated and real robot behaviour, supporting training and
evaluation efforts and pushing the boundaries of embodied AI.
RESPONSIBILITIES
- Take ownership of well-defined engineering problems, with increasing responsibility as you develop.
- Build and iterate on simulation environments for robot learning.
- Implement and test reinforcement learning and imitation learning workflows.
- Contribute to training pipelines, data generation and evaluation tooling.
- Debug and improve simulation and training workflows through testing, profiling and benchmarking.
- Work closely with the wider engineering team to test and validate learning-based systems in simulation and on physical robots.
- Write clean, well-tested Python code as part of the wider robotics software stack.
QUALIFICATIONS
- Strong foundational programming skills are essential. You should be able to design, write, understand and debug code independently, with a strong grasp of core programming concepts.
- A strong academic background in Computer Science, Robotics, Machine Learning, Engineering or a closely related technical field.
- Strong academic, research or project experience in relevant areas such as machine learning, robotics, reinforcement learning, control or simulation.
- Familiarity with machine learning frameworks such as PyTorch, gained through research, coursework, projects or internships.
- Strong problem-solving skills, with the ability to learn quickly and apply new knowledge to technical problems.
- Hands-on exposure to physical robotics or learning-based robotic systems would be valuable but is not required.
- This role is full-time and on site in Cambridge. You must be willing to relocate to Cambridge if required
BENEFITS
- Hands-on experience at the frontier of physical AI, with access to advanced robot hardware and compute.
- Mentorship and increasing technical ownership as you develop.
- Competitive salary based on skills and experience.
- 25 working days of holiday per year, in addition to public holidays.
- Visa sponsorship
If you’re interested in this opportunity, we’d love to hear from you.
Please get in touch at careers@v-sim.co.uk.
